A predictive model-based image watermarking scheme using Regression Tree and Firefly algorithm

Autor: Mohsen Ebrahimi Moghaddam, Behnam Kazemivash
Rok vydání: 2017
Předmět:
Zdroj: Soft Computing. 22:4083-4098
ISSN: 1433-7479
1432-7643
DOI: 10.1007/s00500-017-2617-4
Popis: Digital image watermarking has a great importance in the image security nowadays. In this paper, we have proposed a novel robust image watermarking scheme based on combining Regression Tree as a predictive model and Firefly algorithm as a flexible optimization algorithm. In the proposed scheme, Lifting Wavelet Transform as a strong transform domain is employed to separate the host image into four sub-bands and the low frequency sub-band is used to produce non-overlapping blocks. Then, we sort the blocks in ascending order due to the block’s standard derivation. Primary required blocks (owing to the size of watermark image) are used for embedding process, and others used for making Regression Tree. Firefly algorithm is used to optimize multi-scaling factor according to its significant influence in imperceptibility and robustness. For satisfying security aspects, Fibonacci-Q transform is applied to watermark and the bits of resulted scrambled image participated in embedding process. To evaluate the proposed method, it has been investigated by various image processing operations and due to standard metrics, the experimental results are satisfactory.
Databáze: OpenAIRE
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